Women in Data meetup

Agenda:
5:30 - 6:00 pm: Check in and settle, networking
6:00 - 6:20 pm - Talk #1 - reCAPTCHA: Easy for humans, hard for bots, good for humanity
6:20 - 6:40 pm - Talk #2 - Workflow orchestration system at Pinterest
6:40 - 7:00 pm - Talk #3 - Agile Data Science at Salesforce
7:00 - 7:30 pm - Panel Discussion
7:30 - 7:45 pm - Wrap up

Important Note: It is required to register for the event (free) on ti.to (https://ti.to/big-data/women-in-data-meetup/with/r0d8xhlwpkw), before the event. You will then be sent an eNDA which needs to be signed 24 hours before the event, for security reasons. A badge would be pre-printed for you when you arrive at the event. Please register here (https://ti.to/big-data/women-in-data-meetup/with/r0d8xhlwpkw). If for some reason you are not able to sign the eNDA online, you can still attend, however you may have a wait in a long line at the sign in desk.

Talk #1: reCAPTCHA: Easy for humans, hard for bots, good for humanity
Ying’s talk will be about the reCAPTCHA product that she led a while back and how it changed the landscape of fighting spam on internet.

Speaker Bio:
Ying Liu, joined Lyft’s Level 5 Engineering Center (Autonomous Driving) as a Director of Engineering, in June 2018 after 12 years at Google, where she grew as an engineering leader in the field of crowdsourcing and ML infrastructure. Her passion for applied deep learning led her from Google StreetView to Research, and now Self Driving @ Lyft. In her spare time, she likes to play poker and babysit her friend's dog.

Talk#2: Workflow orchestration system at Pinterest
Pinterest is a personalized data driven product that serves hundreds millions users. To this end, engineers and analytics need to collect data, extract features, build signals, train machine learning models, do ETLs, generate a/b dashboard and compute business metrics. A system for job orchestration and scheduling is required to automate execution of these pipelines.

In this talk, Indy will present how Pinterest is solving this problem using their open source workflow management system called Pinball (https://github.com/pinterest/pinball), and the next version, Spinner, to cover use cases from dashboard generating and index building to complicated machine learning model training.

Speaker Bio:
Indy Prentice, is an engineer at Pinterest on the Big Data Platform team, where she mainly works on Pinterest’s in-house Hive and workflow systems. She graduated from Brown University. Recently she has been pinning dessert recipes, outfit ideas, and everything pumpkin-related.

Talk #3: Agile Data Science at Salesforce
How does Salesforce manage to make data science an agile partner to over 100,000 customers? Sarah will share an overview of the platform and our agile process. From our open-source autoML library (TransmogrifAI) and experimentation to deployment and monitoring, we will cover how the tools make it possible for our data scientist to rapidly iterate and adopt a truly agile methodology.

Speaker Bio:
Sarah Aerni is a Director of Data Science at Salesforce Einstein, where she leads teams building AI-powered applications across the Salesforce platform. Prior to Salesforce she led the healthcare & life science and Federal teams at Pivotal. Sarah obtained her PhD from Stanford University in Biomedical Informatics and also co-founded a company offering expert services in informatics to both academia and industry.

Panel Discussion - Career Pathways and more
The evening will proceed to segue from technical talks into a panel discussion where we will talk to the speakers and other women engineering leaders about career pathways in the world of data.

Panelists:

• Ying Liu: Director of Engineering, Autonomous Driving, Lyft
• Indy Prentice: Software Engineer, Big Data, Pinterest
• Yuko Yamazaki: Director of Engineering, Data Platform, Lyft
• Sarah Aerni, Director of Data Science, Salesforce Einstein
• Sumitha Chandran: Engineering Manager, Experimentation Platform, Lyft